Assuming a fair 6-sided die, the random variable
giving the number that comes up follows a uniform distribution with PMF

The standard deviation of
is the square root of the variance of
,
. We have a formula for the variance in terms of the expected value,
:
![V[X]=E[X^2]-E[X]^2](https://img.qammunity.org/2020/formulas/mathematics/middle-school/3cu13ylj0td4801f782ixhiv863dro9rpx.png)
where
![E[X]=\displaystyle\sum_xx\,P(X=x)=\sum_(x=1)^6\frac x6=\frac72](https://img.qammunity.org/2020/formulas/mathematics/middle-school/yujjgtqjul20jiwv7qjv0tfl0wmrnwy142.png)
![E[X^2]=\displaystyle\sum_xx^2\,P(X=x)=\sum_(x=1)^6\frac{x^2}6=\frac{91}6](https://img.qammunity.org/2020/formulas/mathematics/middle-school/vnmhshxtutuzwxe7sgip6q1erpenl8j7mp.png)
Then the variance is
![V[X]=\frac{91}6-\left(\frac72\right)^2=(35)/(12)](https://img.qammunity.org/2020/formulas/mathematics/middle-school/l4otle31z4qc4uwhru0w5k597qmea497d8.png)
so the standard deviation is
![√(V[X])=\sqrt{(35)/(12)}\approx1.71](https://img.qammunity.org/2020/formulas/mathematics/middle-school/fgvnplwkaicx89vge5gt7mpabu1ucp8au8.png)